Constantin Zopounidis & Panos M. Pardalos 
Handbook of Multicriteria Analysis 

Multicriteria analysis is a rapidly growing aspect of operations research and management science, with numerous practical applications in a wide range of fields. This book presents all the recent advances in multicriteria analysis, including multicriteria optimization, goal programming, outranking methods, and disaggregation techniques. The latest developments on robustness analysis, preference elicitation, and decision making when faced with incomplete information, are also discussed, together with applications in business performance evaluation, finance, and marketing. Finally, the interactions of multicriteria analysis with other disciplines are also explored, including among others data mining, artificial intelligence, and evolutionary methods.

İçerik tablosu

Issues in Decision Aiding.- To Better Respond to the Robustness Concern in Decision Aiding: Four Proposals Based on a Twofold Observation.- Multi-Criteria Decision Analysis for Strategic Decision Making.- Multiple Criteria Decision Aid Methodologies.- ELECTRE Methods: Main Features and Recent Developments.- The Analytic Hierarchy and Analytic Network Measurement Processes: The Measurement of Intangibles.- Preference Programming – Multicriteria Weighting Models under Incomplete Information.- New Trends in Aggregation-Disaggregation Approaches.- Disaggregation Analysis and Statistical Learning: An Integrated Framework for Multicriteria Decision Support.- Multiobjective Optimization.- Multiobjective Optimization, Systems Design and De Novo Programming.- Interactive Multiple Objective Programming Methods.- On Multi-Objective Evolutionary Algorithms.- Goal Programming: From Constrained Regression to Bounded Rationality Theories.- Interactive Decomposition-Coordination Methods for Complex Decision Problems.- Applications.- Applying the EPISSURE Approach for the Evaluation of Business Sponsorship Performance.- Optimal Capital Structure.- Applications of MCDA in Marketing and e-Commerce.